Data Engineer

GMS Advisors; Chicago, Austin, New York (IL, TX, NY); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is on the lookout for a data engineer to enhance their internal market data delivery pipeline. This role involves working with a collaborative team to build scalable, cloud-native data solutions that cater to the needs of investment teams. The ideal candidate will possess a strong technical background, particularly in Python, and have experience with financial data delivery systems. You will be instrumental in designing, implementing, and maintaining robust data pipelines while ensuring high-quality data delivery. If you are passionate about data and eager to make a significant impact in the financial services sector, this opportunity is perfect for you.

Qualifications

• 2+ years of development experience with a strong technical background.
• Familiarity with building scalable data delivery systems.

Responsibilities

• Build scalable, cloud-native data pipelines for large volumes of data.
• Collaborate with analysts and traders to meet market data needs.

Skills

Python

Analytical Skills

Communication Skills

Problem-Solving

Education

Degree in Computer Science or related field

Tools

SQL

PostgreSQL

AWS

OneTick

KDB

Bloomberg

Refinitiv

Job description

Our client is seeking a data engineer to work on the internal market data delivery pipeline within the Tick Data team. This team is responsible for delivering large volumes of tick data to internal users in a reliable and performant manner. We partner with the investment teams to provide market data solutions that are essential for the investment process. We support a cloud-native infrastructure and scalable data pipelines. The candidate will work as a key part of a highly-collaborative, tight-knit team of talented market data developers.

The ideal candidate will have a minimum of 2 years of hands-on development experience with an excellent technical background and a passion for working with data. The candidate will be familiar with building scalable, performant data delivery systems. The candidate will have experience in delivering data for financial services, with familiarity in working with tick data being a strong plus.

RESPONSIBILITIES

• Help build a scalable, cloud-native data pipeline capable of collecting, processing, storing and retrieving very large volumes of data in a performant and reliable manner.
• Work closely with data vendors, including Bloomberg, Refinitiv and many others, to help provide a high-quality data across the full landscape of market data: from streaming real-time to historical data and aggregations.
• Work very closely with analysts, quants, traders and portfolio managers to understand their business needs and market data requirements.
• Implement custom tick data solutions for quantitative investment teams.
• Own the full scope of the assigned projects, including liaising with the business to gather requirements, designing the solution, and building and delivering completed functionality to production.
• Support our business users in their interactions with the data platform and ensure smooth day-to-day operation of the data delivery pipeline.
• Produce comprehensive written documentation.
• Perform with minimum supervision, exercising sound judgment.

QUALIFICATIONS & REQUIREMENTS:

• Degree in Computer Science or closely related field
• 2+ years development background
• Expert knowledge of Python. C++ a plus
• Unix (Linux) and database experience (SQL, PostgreSQL)
• Experience with OneTick, KDB or other time series databases a plus
• Knowledge of systems supporting large, complex data sets in a performant, scalable manner
• Experience with AWS development a plus
• Familiarity with Bloomberg and/or Reuters/Refinitiv products a plus
• Analytical skills – Ability to troubleshoot and logically assess problems and determine solutions
• Documentation skills – ability to represent ideas, requirements, and problems in clear and concise documents.
• Strong communication skills